Staff, Data Engineer

At Walmart, data is at the heart of how we serve hundreds of millions of customers every week. As a Staff Data Engineer, you'll be a technical leader shaping the data platforms and pipelines that power Customer Growth, membership, and analytics across the enterprise. You'll operate at petabyte scale, set the technical direction for a portfolio of data products, and multiply the impact of engineers and data scientists across multiple teams—driving architecture, quality, and long-term platform health rather than individual features.

About the team

The Membership Experience Engineering team at Walmart develops scalable, reliable technology to enhance shopping journeys for millions globally. The team emphasizes technical excellence, integrity, and customer-focused solutions while fostering professional growth and knowledge sharing. Collaborating across functions, members drive innovation through iterative development, code review, and continuous improvement. Leveraging advanced tools and AI integration, the team delivers high-quality software aligned with Walmart’s standards, empowering associates and improving the overall shopping experience worldwide.

Responsibilities

• Data Platform Engineering
  • Own architecture for large-scale streaming data.
  • Design, build, and maintain scalable data pipelines supporting batch and real-time workloads.
  • Develop robust ingestion, transformation, and orchestration frameworks for structured and unstructured data.
  • Ensure data quality, reliability, observability, and governance.
  • Build self-service platform capabilities that improve developer productivity.
  • Improve platform reliability through observability, alerting, and automated remediation.
• Analytics & AI Enablement
  • Support data scientists, analysts, and product teams by providing scalable infrastructure and trusted data assets.
  • Partner with AI and product teams to operationalize machine learning and generative AI solutions.
• Engineering Excellence
  • Optimize platform performance, scalability, and cost efficiency.
  • Mentor engineers and promote engineering standards across teams.

Requirements

• Extensive experience in data engineering, including data integration, transformation, and pipeline development using ETL and streaming techniques.
• Understanding of data governance, quality standards, and regulatory requirements to ensure compliance and data integrity.
• 4+ years of experience in Data Engineering, Platform Engineering, Software Engineering, or related disciplines.
• Strong programming skills in Python, Java, Scala, or similar languages.
• Hands-on experience or strong familiarity with data platforms and technologies such as Airflow, GCP, BigQuery, Hive, and Presto.
• Experience building and maintaining large-scale data pipelines.
• Experience with distributed data processing frameworks such as Spark, Flink, or Beam.
• Strong understanding of data modeling, storage systems, and distributed architectures.
• Experience implementing CI/CD pipelines and infrastructure automation.

Qualifications

Minimum Qualifications:

• Option 1: Bachelor’s degree in Computer Science and 4 years' experience in software engineering or related field.
• Option 2: 6 years’ experience in software engineering or related field.
• Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.
• 3 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications:

• Data engineering, database engineering, business intelligence, or business analytics.
• ETL tools and working with large data sets in the cloud.
• Master’s degree in Computer Science or related field and 4 years' experience in software engineering or related field.
• Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

Benefits

• Health benefits: Medical, vision, and dental coverage.
• Financial benefits: 401(k), stock purchase, and company-paid life insurance.
• Paid time off: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Education: Live Better U, a Walmart-paid education benefit program for full-time and part-time associates, covering tuition, books, and fees for high school completion, bachelor’s degrees, English Language Learning, and short-form certificates. Eligibility requirements apply.

Pay

Annual salary ranges:

• Sunnyvale, California: $143,000.00 - $286,000.00
• Bentonville, Arkansas: $110,000.00 - $220,000.00

Additional compensation includes annual or quarterly performance bonuses and stock for certain positions.

Primary location: 1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America.